Triple
T26305462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Doling |
E661668
|
entity |
| Predicate | firstAppearanceInSeriesPart |
P97509
|
FINISHED |
| Object | season 6 of Dawson's Creek |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: season 6 of Dawson's Creek | Statement: [Eddie Doling, firstAppearanceInSeriesPart, season 6 of Dawson's Creek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceInSeriesPart Context triple: [Eddie Doling, firstAppearanceInSeriesPart, season 6 of Dawson's Creek]
-
A.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
B.
firstAppearanceEpisodeNumber
Indicates the episode number in which an entity (such as a character or item) first appears.
-
C.
firstAppearancePart
chosen
Indicates that an entity makes its first appearance as a component or segment within a larger work or sequence.
-
D.
firstMentionedInSeries
Indicates the work, episode, or installment in a series where a given entity is introduced or appears for the first time.
-
E.
firstAppearanceInSpinoff
Indicates that an entity makes its first appearance within a derivative or spinoff work rather than in the original work.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 26, 2026, 10:18 p.m.